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Explainable Artificial Intelligence (XAI) in Manufacturing
This chapter begins by defining explainable artificial intelligence (XAI). A procedure for implementing XAI was also established. Then, through...
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Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases
Artificial intelligence (AI) has the potential to revolutionize our understanding, diagnosis, and treatment of neurodegenerative diseases....
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Explainable Artificial Intelligence (XAI): Understanding and Future Perspectives
Currently, we are seeing a rapid and broad acceptance of artificial intelligence (AI) in our everyday lives, which is contributing to the...
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A Brief Review of Explainable Artificial Intelligence (XAI) Techniques
The increasing use of artificial intelligence (AI) in various domains has led to a growing need for AI systems to provide interpretable and...
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Federated Learning of Explainable Artificial Intelligence (FED-XAI): A Review
The arrival of a new wave of popularity in the field of Artificial Intelligence has again highlighted that this is a complex field, with issues to be...
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Explainable Artificial Intelligence (XAI): Conception, Visualization and Assessment Approaches Towards Amenable XAI
For last decade, due to the accessibility of huge databases and recent advancements in deep learning methodology, machine learning systems have...
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Network Intrusion Detection Based on Explainable Artificial Intelligence
People often use similar methods to invade network traffic, such as flood attacks and Ddos attacks. Early detection of malicious traffic usually uses...
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DR-XAI: Explainable Deep Learning Model for Accurate Diabetic Retinopathy Severity Assessment
To avoid irreversible vision loss, early detection and diagnosis of Diabetic Retinopathy (DR) severity is critical. The percentage of people...
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The role of explainable Artificial Intelligence in high-stakes decision-making systems: a systematic review
A high-stakes event is an extreme risk with a low probability of occurring, but severe consequences (e.g., life-threatening conditions or economic...
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Explainable artificial intelligence for cybersecurity: a literature survey
With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code,...
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Secure and Explainable Artificial Intelligence (XAI) in Cloud Ecosystems: Challenges and Opportunities
The widespread adoption of artificial intelligence (AI) in cloud ecosystems has revolutionized various domains, offering significant advantages such...
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RMSxAI: arginine methylation sites prediction from protein sequences using machine learning algorithms and explainable artificial intelligence
Protein methylation is a vital regulator of many biological processes at the post-translational level, and accurate prediction of protein methylation...
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Thermal imaging-based diagnostic process using explainable artificial intelligence for 3D printing system
This paper proposes a thermal image-based diagnostic process using explainable artificial intelligence that can interpret 3D printer states. Through...
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Explainable Artificial Intelligence (XAI): Connecting Artificial Decision-Making and Human Trust in Autonomous Vehicles
Automated navigation technology has established itself as an integral facet of intelligent transportation and smart city systems. Several...
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Explainable Artificial Intelligence (XAI) with IoHT for Smart Healthcare: A Review
Discussing the use of artificial intelligence (AI) in healthcare, explainability is a highly contentious topic. AI-powered systems may be superior at...
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Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review
This review aims to explore the growing impact of machine learning and deep learning algorithms in the medical field, with a specific focus on the...
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An Overview of Explainable Artificial Intelligence in the Industry 4.0 Context
Artificial intelligence (AI) has gained significant evolution in recent years that, if properly harnessed, may meet or exceed expectations in a wide...
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Explainable Artificial Intelligence in Health Care: How XAI Improves User Trust in High-Risk Decisions
Explainable AI (XAI) is a set of methodologies, design concepts, and procedures that assist developers and organizations in adding a layer of...
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An overview of artificial intelligence in the field of genomics
Artificial intelligence (AI) is revolutionizing many real-world applications in various domains. In the field of genomics, multiple traditional...
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A Systematic Review of Machine Learning and Explainable Artificial Intelligence (XAI) in Credit Risk Modelling
The emergence of machine learning and artificial intelligence has created new opportunities for data-intensive science within the financial industry....